摘要
噪声不仅干扰人们的日常生活,还会对人们的身心健康造成不良影响。因此,如何有效监测并管控城市噪声,成为城市环保部门亟待解决的问题。为此,提出基于物联网和人工智能的城市噪声环境自动监测方法。首先,基于物联网和人工智能构建噪声环境识别模型,以提供准确、可靠的数据支持;然后,基于采集到的城市环境噪声信号,生成城市噪声环境声谱;最后,利用声谱图计算出噪声阈值,实现城市环境噪声的精准预警,进而实现噪声的自动监测。结果表明,基于物联网和人工智能的城市噪声环境自动监测方法能够准确地对该测试区域内的噪声进行实时、准确的监测;与所提方法相比,方法1、方法2的监测误差较大。该结果证明所提方法具有实时性、准确性和智能化等优点,为城市噪声管理提供了有效的技术支持。
Noise not only disturbs people's daily life but also adversely affects their physical and mental health.Therefore,how to effectively monitor and control urban noise has become an urgent problem for urban environmental protection departments.To address this,this paper proposes an automatic urban noise monitoring method based on IoT and artificial intelligence.First,a noise environment recognition model is established based on IoT and artificial intelligence to provide accurate and reliable data support.Then,urban environmental noise spectrograms are generated from the collected urban environmental noise signals.Finally,noise thresholds are calculated using the spectrograms to achieve precise early warning of urban environmental noise,thereby realizing automatic noise monitoring.The results show that the proposed IoT and artificial intelligence-based urban noise monitoring method can accurately monitor the noise in the test area in real time with high accuracy.Compared with the proposed method,Method 1 and Method 2 show larger monitoring errors.These results demonstrate that the proposed method has the advantages of real-time performance,accuracy and intelligence,providing effective technical support for urban noise management.
作者
谭博
TAN Bo(Zhongjing Borui(Beijing)Technology Co.,Ltd.,Beijing 100015,China)
出处
《自动化应用》
2025年第10期20-22,共3页
Automation Application
关键词
噪声监测
城市噪声
城市保护
人工智能
物联网
noise monitoring
urban noise
urban protection
artificial intelligence
IoT
作者简介
谭博,男,1980年生,工程师,研究方向为智能物联网技术。
